Preparation of Heat-Resistant Sorbitol Aqueous Solution Microcapsules by Interfacial Polymerization

被引：0
|
作者：
Zhang Y. [1 ,2 ]
Zhao Z. [1 ]
Zhang X. [3 ]
Lou H. [3 ]
Li W. [1 ,2 ]
Zhou X. [1 ,2 ]
机构：
[1] School of Chemical Engineering and Technology, Tianjin University, Tianjin
[2] Collaborative Innovation Center of Chemical Science and Engineering, Tianjin
[3] PLA Army Academy of Artillery and Air Defense, Nanjing
来源：
Gaofenzi Cailiao Kexue Yu Gongcheng/Polymeric Materials Science and Engineering | 2024年 / 40卷 / 01期
关键词：
green vegetation; hyperspectral detection countermeasure; microcapsule technology; near- infrared camouflage material; reflection spectrum;
D O I：
10.16865/j.cnki.1000-7555.2024.0015
中图分类号：
学科分类号：
摘要：
In order to obtain camouflage materials with near-infrared fine reflection spectral characteristics of plant leaves, interfacial polymerization was used to prepare sorbitol aqueous solution microcapsules. Selecting polyurea as wall material, a two-step temperature programming for the encapsulation process was designed, and sorbitol aqueous solution microcapsules with a moisture content of over 50% were obtained by optimizing reaction temperature. By SEM, it is observed that the microcapsules are spherical with relatively smooth surface. The results of UV-Vis-NIR indicate that the reflection spectra of microcapsules exhibit water absorption valleys similar to those of green vegetation at 1450 nm and 1930 nm. Microcapsules have excellent water retention ability, of which the moisture content hardly changes (within 3%) after being kept for 96 h under the condition of 25 ℃ and 50% relative humidity environment for 96 h. The test results of TGA and DSC indicate that the initial temperature of water loss in microcapsules exceeds 200 ℃. The microcapsules are lightweight, high in moisture content, and have a strong heat resistance, showing high matching with the near-infrared reflectance spectra of plant leaves. The preparation process is simple. It has good application prospects in the field of anti hyperspectral detection technology. © 2024 Sichuan University. All rights reserved.
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页码：123 / 130
页数：7
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